我使用openCV的imread((读取TIFF。但是价值与我已经知道的不一样。此tiff为签名的16位,它具有负值。使用iMread((的值范围为0〜65535,它是无签名的16位。
import cv2 as cv
img = cv.imread("MYD_20140102.tif",2)
print img
print img.dtype
print img.shape
print img.min()
print img.max()
cv.namedWindow("Image")
cv.imshow("Image",img)
cv.waitKey(0)
cv.destroyAllWindows()
output:
img=[[55537 55537 55537 ... 55537 55537 55537]
[55537 55537 55537 ... 55537 55537 55537]
[55537 55537 55537 ... 55537 55537 55537]
...
[55537 55537 55537 ... 55537 55537 55537]
[55537 55537 55537 ... 55537 55537 55537]
[55537 55537 55537 ... 55537 55537 55537]]
type=uint16
shape=(2318, 2296)
imgMin=0
imgMAX=65535
库tifffile(https://pypi.python.org/pypi/tifffile(确实做了您想要的。这是一个创建INT16 Numpy数组的示例,将其保存在磁盘上,然后再次加载:
import tifffile
import numpy as np
# random array of numbers between -5 and 5
a = np.asarray(np.random.rand(8, 8)*10-5, dtype=np.int16)
# save array to disk and display its content
tifffile.imsave("test.tiff", a)
print(str(a) + "n")
# load the array back from the disk and display its content too
b = tifffile.imread("test.tiff")
print(b)
输出:
a=[[ 1 -1 -3 2 3 -1 4 0]
[ 2 -2 2 0 -1 0 3 -4]
[ 0 -4 3 2 -4 -2 0 -3]
[ 0 -1 0 -2 0 3 -3 1]
[ 0 -4 3 1 -1 3 2 3]
[-3 4 4 3 -3 1 -3 -2]
[ 4 0 -4 -2 1 -3 3 -3]
[ 4 0 4 2 3 1 -2 -4]]
b=[[ 1 -1 -3 2 3 -1 4 0]
[ 2 -2 2 0 -1 0 3 -4]
[ 0 -4 3 2 -4 -2 0 -3]
[ 0 -1 0 -2 0 3 -3 1]
[ 0 -4 3 1 -1 3 2 3]
[-3 4 4 3 -3 1 -3 -2]
[ 4 0 -4 -2 1 -3 3 -3]
[ 4 0 4 2 3 1 -2 -4]]